Name
Abstract | ||
|---|---|---|
Traffic lights may cause a lot of braking, acceleration or even sharp braking, which leads to fuel waste, safety risks and increasing emission during driving. In this paper, we proposed a car navigation map equipped with speed recommendation, which guides the vehicle to timely arrival at green light with minimal use of braking. According to the location of the vehicle and the traffic signal information, we proposed a speed recommendation algorithm for driver to reduce the waiting tune at the intersection with traffic lights, i.e., making the vehicle arrive at the intersection when the traffic light is green. The proposed algorithm allows the driver pass the intersection with traffic light without stopping. Thus, it makes driving safer, more efficient and environment-friendly. The simulation is conducted on a traffic simulation software named Vissim. Simulation result shows the satisfying performance of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICMLC48188.2019.8949266 | PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC) |
Keywords | Field | DocType |
Speed recommendation, Intelligent transportation system, Traffic light | Traffic signal,Computer science,Traffic simulation,SAFER,VisSim,Real-time computing,Software,Artificial intelligence,Acceleration,Intelligent transportation system,Machine learning | Conference |
ISSN | Citations | PageRank |
2160-133X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Xu | 1 | 0 | 0.34 |
| Zhimin He | 2 | 536 | 35.90 |
| Haozhen Situ | 3 | 43 | 10.96 |
| Junjian Su | 4 | 0 | 0.34 |
| Yan Zhou | 5 | 0 | 0.34 |